サッシャ Sascha

サッシャ Sascha

@sascha348

🇩🇪🇯🇵 @jwave813fm @stepone813 @kinro_ntv @jsports @dazn_jpn @oggi_jp @nhk_anitella @summer_sonic @tohocinemas_m フィナンシェhttps://sascha348.com/

Tokyo https://linktr.ee/sascha348 Joined 2007-05-20 Date of Analysis: Dec 16, 2025

100,897

Followers

7,383

Following

64,041

Tweets

318.5

Avg Engagement

2,971

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @sascha348's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.

Account Classification

  • Account Size: Macro Influencer (100K+)
  • Account Age:2007-05-20
  • Verification:No
  • Location:Tokyo

Data Summary

  • Tweets Analyzed:3,235
  • Avg Likes per Tweet:217.0
  • Avg Retweets per Tweet:101.5
  • Followers Analyzed:10,000

Engagement Analysis

Based on 3,235 tweets

The account has a high average engagement rate with likes and retweets, indicating a dedicated and interactive follower base. Their tweets often include links and hashtags, which contribute to their visibility and reach.

217.0

Avg Likes/Tweet

101.5

Avg Retweets/Tweet

701,910

Total Likes

328,324

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

25

Median Likes

10

Median Retweets

255

75th Percentile

58,386

Top Tweet

3.16

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Mixed

Balanced content approach

36.1%

Original

13.7%

Replies

34.5%

Retweets

15.7%

Quotes

0.0%

Threads

0.2%

With Media

75.4%

With Links

49.6%

With #Tags

66.7%

With @Mentions

32.3%

With Emojis

104

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.38

Reply/Original Ratio

0.45

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

73.8%

Weekday Posts

26.2%

Weekend Posts

Top Hashtags

#サッシャ (359) #jwave (335) #stepone813 (292) #アニテラ (273) #radiko (174) #f1dazn (134) #f1jp (132) #アメブロ (117) #亜咲花 (108) #dazn (99)

Most Mentioned

@stepone813 (300) @sascha348 (230) @nhk_anitella (196) @kinro_ntv (192) @dazn_jpn (166) @jwave813fm (143) @jspocycle (112) @shinjinakano24 (84) @jsports (75) @oggi_jp (69)

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Content Strategy Analysis

Based on 3,235 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,167 (36%)
Replies 444 (14%)
Retweets 1,117 (35%)
Quote Tweets 507 (16%)

What This Reveals About Their Strategy

This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.

The 1,117 retweets (35% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.

Posting Patterns & Optimal Timing

Based on 3,235 tweets

Engagement by Hour (UTC)

Posting Frequency Over Time

Timing Insights

Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.

Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.

Audience Demographics

Based on 10,000 followers

The audience is primarily interested in Japanese music, anime, and sports events, especially F1 and motorsports. They are likely fans of Japanese pop culture and live performances.

Good

Audience Quality

18.6%

Suspicion Index

25.4%

Low-Quality %

39

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

35.5%

Empty Bio

22.3%

<10 Tweets

6.6%

Mass Following (>2K)

0.0%

New (<90 days)

36.9%

Low Ratio (<0.1)

0.0%

New (<180 days)

86.9%

No URL

15.4%

<3 Tweets

Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

11,793,086

Total Potential Reach

39

Median Follower Reach

198

75th Percentile Reach

6.1%

>1K followers

1.1%

>10K followers

0.4%

>50K followers

0.2%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

59.9%

Creators

5,988 accounts

17.8%

Consumers

1,782 accounts

22.3%

Dormant

2,230 accounts

85

Verified Followers

0.85% of total

0.9%

Professional Bios

founder, dev, analyst, etc.

0.17

Median Follow Ratio

follower/following

Follower Influence Distribution

How many followers do their followers have?

Follower Account Age

How long have followers been on Twitter?

Geographic Distribution

Top locations where followers are based (from those who share location data):

日本 (239) Japan (109) 日本 東京 (70) 東京 (61) Tokyo (52) 東京都 (48) Tokyo-to, Japan (47) 日本 大阪 (23) tokyo (21) 神奈川県 (20)

85

Verified Followers

0.85% of total

1,508

Protected Accounts

15.08% of total

6 years

Avg Account Age

of their followers

Notable Followers (By Influence)

Top accounts following this user, sorted by their follower count:

Username Followers Profession Interests
@shouta0811aoi 1,010,263 Singer Music, Tarot, Support
@Mari_navi 701,216 声優 Voice Acting, Technology, Struggle
@mggyy 700,208 YouTuber Cars, YouTube, BTS
@nauru_japan 459,744 Tourism tourism, government, promotion
@Hysteric_Barbie 416,805 Voice Actress music, theater, reading
@sayahiyama_1027 416,756 Weathercaster Anime, Books, Games
@AliceProject_mb 357,145 Idol Music, Idol, Performance
@tabbata 317,188 Entrepreneur Education, Media, Startups
@natori_kurumi 297,706 Gravure Idol Gravure modeling, Lingerie, Racing
@panther_mukai 266,080 Comedian back number, music, comedy

Top Keywords in Follower Bios

f (643) gt (107) youtube (84) twitter (71) love (71) ff (51) dm (50) super (50) supergt (46) rt (43)

Top Hashtags in Follower Bios

#f1 (40) #ハ (34) #f1jp (29) #supergt (24) #ト (17) #ホ (14) #ロート (13) #フ (13) #yt22 (8) #カ (7)

6,451

Followers With Bio

3,549

Followers Without Bio

64.51%

% With Bio

35.49%

% Without Bio

Why Audience Demographics Matter

Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.

Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.

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Viral Tweets

Top 5 by likes+RTs from 3,235 analyzed

106,420

Combined Engagement

7,940

Total Likes

98,480

Total Retweets

21,284

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

100%

With Hashtags

100%

With @Mentions

80%

With Links

Topical Analysis:

Japanese Pop Culture Live Events Music Anime Sports F1 Motorsports Fan Engagement
サッシャ Sascha
@sascha348

RT @Violet_Letter: 日本テレビ系「#金曜ロードショー」にて、『劇場版 ヴァイオレット・エヴァーガーデン』の初放送が決定しました! 放送日:11月25日(金)21:00~ 圧倒的映像美と、心揺さぶる愛の物語を地上波でぜひお楽しみください! https://t.co/1fiA6ZGQwx #ヴァイオレット・エヴァーガーデン #VioletEvergarden https://t.co/DrKTFb2RXu

2022-10-28
Retweets: 58,386 Likes: 0 Engagement: 58,386
サッシャ Sascha
@sascha348

RT @kinro_ntv: 👓✨発表✨👓 最新作公開記念 2週連続 名探偵コナン 4月7日🎃初放送 「#名探偵コナンハロウィンの花嫁」 4月14日🀄 「#名探偵コナン漆黒の追跡者」 https://t.co/eATRKxeHPX

2023-03-17
Retweets: 16,378 Likes: 0 Engagement: 16,378
サッシャ Sascha
@sascha348

RT @M1GRANDPRIX: 🏆M-1グランプリ2022🏆 史上最多7,261組の頂点に輝いたコンビは… 👑 #ウエストランド ❗❗ #M1 #M1グランプリ #M1GP2022 #M1グランプリ決勝戦

2022-12-18
Retweets: 12,655 Likes: 0 Engagement: 12,655
サッシャ Sascha
@sascha348

RT @GermanyinJapan: 日本代表の皆様、おめでとうございます!!!フェアで熱い試合をありがとうございました🇩🇪⚽️🇯🇵 おやすみなさい。 #GERvsJPN #eKickoff @GI_Tokyo https://t.co/6RNgBSteBu

2022-11-23
Retweets: 9,740 Likes: 0 Engagement: 9,740
サッシャ Sascha
@sascha348

#ヒプマイ8thライブ #madtriggercrew 行ってきました!ハードコアな横浜炸裂でひたすらカッコよかった!!初のディビジョンごとのライブ最高!DRBの曲も横浜のところを歌ってくれて感動!皆さんの青い海が綺麗だった!次は大阪!! #ヒプマイ #hypnosismic @komaDwataru @s_kamio113 @hypnosismic https://t.co/IV0fTMB9A7

2022-09-04
Retweets: 1,321 Likes: 7,940 Engagement: 9,261

Key Insights & Takeaways

The user frequently shares experiences from live events and concerts, indicating a passion for live entertainment. They have a strong connection to Japanese pop culture, including music and anime. Their content often includes links and hashtags, suggesting a focus on community and fan interaction.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 100,897
  • + Strong original content creation
  • + Active presence with consistent posting

Opportunities

  • ~ Optimize posting times for peak engagement windows
  • ~ Analyze top-performing content for replicable patterns
  • ~ Leverage geographic concentration for targeted content
  • ~ Explore collaboration potential with followed accounts

Summary

This analysis of @sascha348 reveals an well-established Twitter presence with 100,897 followers. The account demonstrates a content-creator strategy, averaging 318.5 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.

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About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025